Ross ROSS = Recommend OSS · open-source software intelligence for agents

tata1661/FSL-Mate resource

FSL-Mate: A collection of resources for few-shot learning (FSL). observed · 2026-08-28

github.com/tata1661/FSL-Mate · Python observed · 2026-08-28

Health v2 · maintenance only

67/100

  • Activity 78
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2349
  • days_rel: n/a
  • days_push: 137
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1764 stars · 287 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FSL-Mate is a curated collection of resources for few-shot learning, containing a tracked paper list (FewShotPapers) and a PaddlePaddle-based Python library (PaddleFSL). It is regularly updated with papers from major ML and CV/NLP conferences.

Use cases

  • find recent few-shot learning papers
  • track meta-learning research advances
  • get started with few-shot learning in Python
  • find one-shot learning survey material
  • run few-shot learning experiments with PaddlePaddle
  • keep up with FSL papers from CVPR, NeurIPS, ACL

When to choose

  • you need an up-to-date curated list of few-shot learning literature
  • you want a PaddlePaddle-based library for FSL experiments
  • you are surveying meta-learning or low-shot research

When to avoid

  • you need a production-ready few-shot learning framework in PyTorch or TensorFlow
  • you want a maintained library with a clear license for commercial use
  • you only need general-purpose deep learning tooling

Facets

learning-resource · maturity active

machine-learning deep-learning documentation machine-learning deep-learning tutorials awesome-lists python few-shot-learning meta-learning one-shot-learning paper-list paddlepaddle research

1 source

Member repositories

RepositoryRoleHealth v2
tata1661/FSL-Matemain67

For agents

markdown · JSON · MCP: product_card(name="tata1661/FSL-Mate")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem